Research And Implementation Of User Behavior Collection And Analysis Technology Based On Saas Service Platform

With the continuous development of the Internet,in order to gain the favor of more users,more and more products have started to use the Software-as-a-Service(Saa S)model.Small,so user experience has become the key to winning the product competition.At present,most products' optimization and experience analysis are mainly based on user feedback or customer tracking analysis.However,in this process,product managers cannot truly grasp customers due to the fuzzy description of user feedback and the unclear design of tracking analysis answer sheets And product optimization needs,so this paper studies the key technologies of data collection and behavior analysis of user behavior based on the Saa S service platform,in order to provide product designers with more accurate data and visual display effects,so that product designers can pass Scientific data collection and analysis to locate users' experience optimization.Based on the above goals,based on the Saa S service platform,this topic first studies the buried and no-buried technology of data collection for user behavior and makes a comparative analysis.It also proposes a platform performance optimization scheme to ensure that it does not affect the user experience.In the case of degree,data related to user behavior is collected.Secondly,visually analyze and display the collected user behavior data,so that product designers can observe the behavior path of the user using the product,and mark the resistance points of the entire behavior path,so as to more accurately locate the product optimization direction and improve users.Experience in Saa S service platform.Finally,based on the research of the above key technologies,develop and implement a set of products that can be used to accurately analyze the user experience of various Saa S service platforms,and test and verify on a well-known Saa S service platform to prove the effectiveness of the solution.